Accession Number : AD0775030

Title :   The Feasibility of Pulse Signal Classification by Spectral Parameters.

Descriptive Note : Master's thesis,


Personal Author(s) : Meloy,John Donald

Report Date : DEC 1973

Pagination or Media Count : 98

Abstract : The paper explores the feasibility of fast transform coefficients as classification features for pulse type signals. The fast transforms investigated are Fourier (FFT), Walsh (FWT), and Haar (FHT). A synthesized signal base containing 79 distinct pulse shapes of similar duration is analyzed for classification information compactness in the discrete time, Fourier, Walsh, and Haar bases. Nonparametric information measures are used. It is concluded that a Fourier basis representation enables the significant reduction of dimensionality necessary for further study as a generator of classification features. (Author)

Descriptors :   *Information theory, *Signal processing, Pulses, Shape, Classification, Walsh functions, Fourier transformation, Data processing, Computer graphics, Pattern recognition

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE